Support more decks

assets/deck/BestowedDragon.ydk

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assets/deck/BestowedDragon2.ydk

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assets/deck/BestowedDragonF.ydk

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assets/deck/Branded.ydk

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assets/deck/Branded60.ydk

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assets/deck/CenturIon.ydk

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assets/deck/CenturIon2.ydk

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assets/deck/Chimera.ydk

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assets/deck/Floowandereeze.ydk

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assets/deck/Floowandereeze2.ydk

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\ No newline at end of file

assets/deck/Hero.ydk

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\ No newline at end of file

assets/deck/Labrynth.ydk

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assets/deck/Pachycephalo.ydk

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assets/deck/SinfulSnake2.ydk

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assets/deck/SinfulSnakeKash.ydk

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assets/deck/SnakeEyeAlter.ydk

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assets/deck/SnakeEyeFire2.ydk

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assets/deck/SnakeEyeTear.ydk

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assets/deck/unsupported/Magician.ydk

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scripts/code_list.txt

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+47961808
+53212882
+78661338
+87639778
+98645731
+58699500
+92907248
+69601012
+45819647
+37629703
+6637331
+80117527
+23076639
+99585850
+30748475
+93503294
+41215808
+24508238
+35059553
+46565218
+55461744
+61173621
+40155014
+92565383
+7436169
+80433039
+34090915
+62015408
+54126514
+82956214
+78888899
+41371602
+34541543
+89538537
+35809262
+92731385
+74018812

scripts/generate_embedding.py → scripts/embedding.py

@@ -3,6 +3,7 @@ import time
 from dataclasses import dataclass
 from typing import Optional
 
+import pickle
 import numpy as np
 
 import voyageai
@@ -12,14 +13,15 @@ import tyro
 from ygoai.embed import read_cards
 from ygoai.utils import load_deck
 
+
 @dataclass
 class Args:
     deck_dir: str = "../assets/deck"
     """the directory of ydk files"""
     code_list_file: str = "code_list.txt"
     """the file containing the list of card codes"""
-    embeddings_file: Optional[str] = "embeddings.npy"
-    """the npz file containing the embeddings of the cards"""
+    embeddings_file: Optional[str] = None
+    """the pickle file containing the embeddings of the cards"""
     cards_db: str = "../assets/locale/en/cards.cdb"
     """the cards database file"""
     batch_size: int = 64
@@ -76,18 +78,7 @@ if __name__ == "__main__":
     with open(code_list_file, "r") as f:
         code_list = f.readlines()
     code_list = [int(code.strip()) for code in code_list]
-    print(f"The database contains {len(code_list)} cards.")
-
-    if embeddings_file is not None:
-        # read embeddings
-        if not os.path.exists(embeddings_file):
-            sample_embedding = get_embeddings(["test"])[0]
-            all_embeddings = np.zeros((0, len(sample_embedding)), dtype=np.float32)
-        else:
-            all_embeddings = np.load(embeddings_file)
-        print("Embedding dim:", all_embeddings.shape[1])
-
-        assert len(all_embeddings) == len(code_list), f"The number of embeddings({len(all_embeddings)}) does not match the number of cards."
+    print(f"The code list contains {len(code_list)} cards.")
 
     all_codes = set(code_list)
 
@@ -97,20 +88,32 @@ if __name__ == "__main__":
             new_codes.append(code)
     
     if new_codes == []:
-        print("No new cards have been added to the database.")
-        exit()
-
-    new_texts = read_texts(cards_db, new_codes)
-    print(new_texts)
-    if embeddings_file is not None:
-        embeddings = get_embeddings(new_texts, args.batch_size, args.wait_time, verbose=True)
-        all_embeddings = np.concatenate([all_embeddings, np.array(embeddings)], axis=0)
-        np.save(embeddings_file, all_embeddings)
-
+        print("No new cards have been added to the code list.")
+    else:
         # update code_list
         code_list += new_codes
 
         with open(code_list_file, "w") as f:
             f.write("\n".join(map(str, code_list)) + "\n")
 
-    print(f"{len(new_codes)} new cards have been added to the database.")
+        print(f"{len(new_codes)} new cards have been added to the code list.")
\ No newline at end of file
+
+    if embeddings_file is not None:
+        if not os.path.exists(embeddings_file):
+            all_embeddings = {}
+        else:
+            all_embeddings = pickle.load(open(embeddings_file, "rb"))
+
+        codes_not_in_embeddings = [code for code in code_list if code not in all_embeddings]
+        if codes_not_in_embeddings == []:
+            print("All cards have embeddings.")
+            exit()
+        print(f"{len(codes_not_in_embeddings)} cards do not have embeddings.")
+        new_texts = read_texts(cards_db, codes_not_in_embeddings)
+        print(new_texts)
+        embeddings = get_embeddings(new_texts, args.batch_size, args.wait_time, verbose=True)
+        embeddings = np.array(embeddings, dtype=np.float32)
+        for code, embedding in zip(codes_not_in_embeddings, embeddings):
+            all_embeddings[code] = embedding
+        print(f"Embeddings of {len(codes_not_in_embeddings)} cards have been added.")
+        pickle.dump(all_embeddings, open(embeddings_file, "wb"))
\ No newline at end of file

scripts/ppo.py

@@ -4,7 +4,7 @@ import time
 from collections import deque
 from dataclasses import dataclass
 from typing import Literal, Optional
-
+import pickle
 
 import ygoenv
 import numpy as np
@@ -18,7 +18,7 @@ import torch.distributed as dist
 from torch.cuda.amp import GradScaler, autocast
 
 from ygoai.utils import init_ygopro
-from ygoai.rl.utils import RecordEpisodeStatistics, to_tensor
+from ygoai.rl.utils import RecordEpisodeStatistics, to_tensor, load_embeddings
 from ygoai.rl.agent import PPOAgent as Agent
 from ygoai.rl.dist import reduce_gradidents, torchrun_setup, fprint
 from ygoai.rl.buffer import create_obs
@@ -238,7 +238,7 @@ def main():
     eval_envs = RecordEpisodeStatistics(eval_envs)
 
     if args.embedding_file:
-        embeddings = np.load(args.embedding_file)
+        embeddings = load_embeddings(args.embedding_file, args.code_list_file)
         embedding_shape = embeddings.shape
     else:
         embedding_shape = None

scripts/ppo_lstm.py

@@ -19,7 +19,7 @@ import torch.distributed as dist
 from torch.cuda.amp import GradScaler, autocast
 
 from ygoai.utils import init_ygopro
-from ygoai.rl.utils import RecordEpisodeStatistics
+from ygoai.rl.utils import RecordEpisodeStatistics, load_embeddings
 from ygoai.rl.agent2 import PPOAgent as Agent
 from ygoai.rl.dist import reduce_gradidents, torchrun_setup, fprint
 from ygoai.rl.buffer import create_obs
@@ -238,7 +238,7 @@ def main():
     eval_envs = RecordEpisodeStatistics(eval_envs)
 
     if args.embedding_file:
-        embeddings = np.load(args.embedding_file)
+        embeddings = load_embeddings(args.embedding_file, args.code_list_file)
         embedding_shape = embeddings.shape
     else:
         embedding_shape = None

scripts/ppo_t.py

@@ -18,7 +18,7 @@ import torch.distributed as dist
 from torch.cuda.amp import GradScaler, autocast
 
 from ygoai.utils import init_ygopro
-from ygoai.rl.utils import RecordEpisodeStatistics, to_tensor
+from ygoai.rl.utils import RecordEpisodeStatistics, to_tensor, load_embeddings
 from ygoai.rl.agent import PPOAgent as Agent
 from ygoai.rl.dist import reduce_gradidents, torchrun_setup, fprint
 from ygoai.rl.buffer import create_obs
@@ -243,7 +243,7 @@ def main():
     eval_envs = RecordEpisodeStatistics(eval_envs)
 
     if args.embedding_file:
-        embeddings = np.load(args.embedding_file)
+        embeddings = load_embeddings(args.embedding_file, args.code_list_file)
         embedding_shape = embeddings.shape
     else:
         embedding_shape = None

scripts/ppo_t2.py

@@ -18,7 +18,7 @@ import torch.distributed as dist
 from torch.cuda.amp import GradScaler, autocast
 
 from ygoai.utils import init_ygopro
-from ygoai.rl.utils import RecordEpisodeStatistics, to_tensor
+from ygoai.rl.utils import RecordEpisodeStatistics, to_tensor, load_embeddings
 from ygoai.rl.agent import PPOAgent as Agent
 from ygoai.rl.dist import reduce_gradidents, torchrun_setup, fprint
 from ygoai.rl.buffer import create_obs
@@ -243,7 +243,7 @@ def main():
     eval_envs = RecordEpisodeStatistics(eval_envs)
 
     if args.embedding_file:
-        embeddings = np.load(args.embedding_file)
+        embeddings = load_embeddings(args.embedding_file, args.code_list_file)
         embedding_shape = embeddings.shape
     else:
         embedding_shape = None

ygoai/rl/ppo.py

@@ -108,6 +108,7 @@ def bootstrap_value_self(values, rewards, dones, learns, nextvalues, next_done,
 
 
 def bootstrap_value_selfplay(values, rewards, dones, learns, nextvalues1, nextvalues2, next_done, gamma, gae_lambda):
+    # TODO: drop epsilon steps for estimated nextvalues
     num_steps = rewards.size(0)
     advantages = torch.zeros_like(rewards)
     # TODO: optimize this

ygoai/rl/utils.py

 import re
 import numpy as np
 import gymnasium as gym
+import pickle
 
 import optree
 import torch
@@ -104,3 +105,14 @@ def masked_normalize(x, valid, eps=1e-8):
 
 def to_tensor(x, device, dtype=torch.float32):
     return optree.tree_map(lambda x: torch.from_numpy(x).to(device=device, dtype=dtype, non_blocking=True), x)
+
+
+def load_embeddings(embedding_file, code_list_file):
+    with open(embedding_file, "rb") as f:
+        embeddings = pickle.load(f)
+    with open(code_list_file, "r") as f:
+        code_list = f.readlines()
+        code_list = [int(code.strip()) for code in code_list]
+    assert len(embeddings) == len(code_list), f"len(embeddings)={len(embeddings)}, len(code_list)={len(code_list)}"
+    embeddings = np.array([embeddings[code] for code in code_list], dtype=np.float32)
+    return embeddings

ygoenv/ygoenv/ygopro/ygopro.h

@@ -459,6 +459,11 @@ static std::tuple<std::vector<uint32>, std::vector<uint32>, std::vector<uint32>>
       }
     }
 
+    if (main_deck.size() < 40) {
+      std::string err = fmt::format("Main deck must contain at least 40 cards, found: {}, file: {}", main_deck.size(), fp);
+      throw std::runtime_error(err);
+    }
+
     // Read the extra deck
     if (found_extra) {
       while (std::getline(file, line)) {
@@ -801,6 +806,7 @@ protected:
 
   uint32_t data_ = 0;
 
+  uint32_t status_ = 0;
   PlayerId controler_ = 0;
   uint32_t location_ = 0;
   uint32_t sequence_ = 0;
@@ -1236,7 +1242,7 @@ public:
   static decltype(auto) StateSpec(const Config &conf) {
     int n_action_feats = 10 + conf["max_multi_select"_] * 2;
     return MakeDict(
-        "obs:cards_"_.Bind(Spec<uint8_t>({conf["max_cards"_] * 2, 40})),
+        "obs:cards_"_.Bind(Spec<uint8_t>({conf["max_cards"_] * 2, 41})),
         "obs:global_"_.Bind(Spec<uint8_t>({23})),
         "obs:actions_"_.Bind(
             Spec<uint8_t>({conf["max_options"_], n_action_feats})),
@@ -1803,17 +1809,18 @@ private:
       f_cards(offset, 8) = race2id.at(c.race_);
       f_cards(offset, 9) = c.level_;
       f_cards(offset, 10) = std::min(c.counter_, static_cast<uint32_t>(15));
+      f_cards(offset, 11) = static_cast<uint8_t>((c.status_ & (STATUS_DISABLED | STATUS_FORBIDDEN)) != 0);
       auto [atk1, atk2] = float_transform(c.attack_);
-      f_cards(offset, 11) = atk1;
-      f_cards(offset, 12) = atk2;
+      f_cards(offset, 12) = atk1;
+      f_cards(offset, 13) = atk2;
 
       auto [def1, def2] = float_transform(c.defense_);
-      f_cards(offset, 13) = def1;
-      f_cards(offset, 14) = def2;
+      f_cards(offset, 14) = def1;
+      f_cards(offset, 15) = def2;
 
       auto type_ids = type_to_ids(c.type_);
       for (int j = 0; j < type_ids.size(); ++j) {
-        f_cards(offset, 15 + j) = type_ids[j];
+        f_cards(offset, 16 + j) = type_ids[j];
       }
     }
   }
@@ -2402,8 +2409,8 @@ private:
   std::vector<Card> get_cards_in_location(PlayerId player, uint8_t loc) {
     int32_t flags = QUERY_CODE | QUERY_POSITION | QUERY_LEVEL | QUERY_RANK |
                     QUERY_ATTACK | QUERY_DEFENSE | QUERY_EQUIP_CARD |
-                    QUERY_OVERLAY_CARD | QUERY_COUNTERS | QUERY_LSCALE |
-                    QUERY_RSCALE | QUERY_LINK;
+                    QUERY_OVERLAY_CARD | QUERY_COUNTERS | QUERY_STATUS |
+                    QUERY_LSCALE | QUERY_RSCALE | QUERY_LINK;
     int32_t bl = YGO_QueryFieldCard(pduel_, player, loc, flags, query_buf_);
     qdp_ = 0;
     std::vector<Card> cards;
@@ -2467,6 +2474,7 @@ private:
         }
       }
 
+      c.status_ = q_read_u32();
       c.lscale_ = q_read_u32();
       c.rscale_ = q_read_u32();
 
@@ -2931,7 +2939,43 @@ private:
           p->notify(fmt::format("{}: {}", cards[i].get_spec(pl), cards[i].name_));
         }
       }
-
+    } else if (msg_ == MSG_PLAYER_HINT) {
+      if (!verbose_) {
+        dp_ = dl_;
+        return;
+      }
+      dp_ += 6;
+      // TODO: implement output
+    } else if (msg_ == MSG_CARD_TARGET) {
+      if (!verbose_) {
+        dp_ = dl_;
+        return;
+      }
+      auto c1 = read_u8();
+      auto l1 = read_u8();
+      auto s1 = read_u8();
+      read_u8();
+      auto c2 = read_u8();
+      auto l2 = read_u8();
+      auto s2 = read_u8();
+      read_u8();
+
+      Card card1 = get_card(c1, l1, s1);
+      Card card2 = get_card(c2, l2, s2);
+      for (PlayerId pl = 0; pl < 2; pl++) {
+        auto p = players_[pl];
+        auto spec1 = card1.get_spec(pl);
+        auto spec2 = card2.get_spec(pl);
+        auto c1name = card1.name_;
+        auto c2name = card2.name_;
+        if ((card1.controler_ != pl) && (card1.position_ & POS_FACEDOWN)) {
+          c1name = position_to_string(card1.position_) + " card";
+        }
+        if ((card2.controler_ != pl) && (card2.position_ & POS_FACEDOWN)) {
+          c2name = position_to_string(card2.position_) + " card";
+        }
+        p->notify(fmt::format(" {} ({}) targets {} ({})", spec1, c1name, spec2, c2name));
+      }
     } else if (msg_ == MSG_CONFIRM_CARDS) {
       auto player = read_u8();
       auto size = read_u8();
@@ -3686,7 +3730,7 @@ private:
       auto must_select_size = read_u8();
 
       if (mode == 0) {
-        if (must_select_size != 1) {
+        if (must_select_size > 2) {
           throw std::runtime_error(
               " must select size: " + std::to_string(must_select_size) +
               " not implemented for MSG_SELECT_SUM");
@@ -3704,7 +3748,7 @@ private:
       must_select_params.reserve(must_select_size);
       must_select_specs.reserve(must_select_size);
 
-      int expected;
+      int expected = val;
       if (verbose_) {
         std::vector<Card> must_select;
         must_select.reserve(must_select_size);
@@ -3717,8 +3761,8 @@ private:
           Card card = get_card(controller, loc, seq);
           must_select.push_back(card);
           must_select_params.push_back(param);
+          expected -= (param & 0xff);
         }
-        expected = int(val) - (must_select_params[0] & 0xff);
         auto pl = players_[player];
         pl->notify("Select cards with a total value of " +
                    std::to_string(expected) + ", seperated by spaces.");
@@ -3739,8 +3783,8 @@ private:
           auto spec = ls_to_spec(loc, seq, 0, controller != player);
           must_select_specs.push_back(spec);
           must_select_params.push_back(param);
+          expected -= (param & 0xff);
         }
-        expected = int(val) - (must_select_params[0] & 0xff);
       }
 
       uint8_t select_size = read_u8();